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IBM Watson Data Scientist v1 Sample Questions:

1. When managing data with Cloud Pak for Data Services, what is a common task?

A) Ignoring data security and compliance requirements
B) Reading data from and writing data to Watson Studio
C) Using the same data management approach for all types of data, regardless of size or format
D) Avoiding the automation of data processing tasks

2. In Cognos Analytics, which two features distinguish stories from dashboards?

A) Stories can be embedded in websites or documents.
B) Stories are text-based and do not contain visualizations.
C) Stories automatically load different filters for different users.
D) Stories convey a conclusion.
E) Stories provide a narrative over time.

3. When deploying models in Watson Machine Learning, what is essential for ensuring the models perform as expected in production?

A) Continuous monitoring and evaluation of model performance
B) Deployment without any security measures
C) Limiting access to the model to a few select users
D) Using the highest number of resources for every model

4. Cloud Pak for Data's integration with Spark allows users to:

A) Leverage distributed computing for processing large datasets efficiently
B) Use Spark exclusively for data visualization purposes
C) Avoid using any form of data processing or analysis
D) Perform complex computations on small datasets only

5. What is a key disadvantage of using Grid Search for hyperparameter tuning?

A) It can be computationally expensive and time-consuming due to its exhaustive nature
B) It is too quick and may miss out on evaluating some hyperparameters
C) It requires no prior knowledge of the hyperparameters
D) It is unable to handle discrete parameters

Solutions: